Practical Data Science on AWS: Generative AI

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Join us for a live workshop where you can follow along with AWS instructors Antje and Chris as they share about Practical Data Science on AWS: Generative AI.In this session, we will introduce you to practical data science in the AWS cloud by demonstrating Amazon CodeWhisperer to generate Python code and Amazon SageMaker to generate images using Stable Diffusion. We will also discuss recent innovations in AI/ML including generative AI models such as ChatGPT and its relatively-unknown sibling, InstructGPT.Event Agenda40-minute Workshop10-minute Q&amp;A: Taking live questions from the audienceHow to attend the event:When you register, you will receive a Livestream link via email three days before the event.Can&#x27;t attend the live YouTube event? Don’t worry. Register now to get the recorded session after the live event.​​About the Speaker:<a href="https://www.linkedin.com/in/antje-barth/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Antje Barth</a>, is a Principal Developer Advocate for AI and ML at AWS. She is co-author of the O’Reilly book &quot;Data Science on AWS&quot;. Antje frequently speaks at AI/ML conferences, events, and meetups around the world. She also co-founded the Düsseldorf chapter of Women in Big Data.<a href="https://www.linkedin.com/in/cfregly/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Chris Fregly</a>, is a Principal Solution Architect for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O&#x27;Reilly Book, &quot;Data Science on AWS.&quot; Chris is also the Founder of the global meetup series titled, &quot;Data Science on AWS.&quot; He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), Big Data London, Big Data Spain, and Nvidia GPU Technology Conference (GTC). Previously, Chris was founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Apache Spark, Kubernetes, TensorFlow, Kubeflow, Ray, Amazon EKS, and Amazon SageMaker. Moderator:<a href="https://www.linkedin.com/in/gregloughnane/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Dr. Greg Loughnane </a>is the Head of Product &amp; Curriculum at FourthBrain, where he leads their portfolio of Machine Learning Engineering and Machine Learning Operations (MLOps) courses. Over the past decade, he has worked as a product manager, data science consultant, and ML researcher, but his real passion has always been in teaching. He is fascinated by what the workforce of the future will look like and enjoys coaching young and career professionals on how to future-proof themselves against 21st-century technologies like AI and 3D Printing.

About <a href="https://www.fourthbrain.ai/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">FourthBrain</a>FourthBrain’s mission is to bring more people into the growing fields of Machine Learning and Artificial Intelligence. We are increasing the talent pool and enabling more people to make an impact in this field with our flexible, accessible education programs that create pathways into ML and AI careers.We offer 2 Programs:1. MLOps Program: Our 10-week program will help get you prepared with the MLOps tools, skills, and best practices for deploying, evaluating, monitoring and operating production ML systems.2. Machine Learning Engineer Program: Our 16-week program will prepare you with the technical skills to be a machine learning engineer including web analytics, deep learning, computer vision, and time-series analysis.With FourthBrain’s live, online, instructor-led programs in Machine Learning, you can join a career path that has been ranked as one of the best in the world. Our programs are designed with a flexible and practical curriculum, paired with hands-on projects that apply the concepts you’ve learned to make you career-ready. FourthBrain is backed by the AI Fund, which was founded by Dr. Andrew Ng in 2017.

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Practical Data Science on AWS: Generative AI

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